WO2010054771A3 - Method for predicting a time-variant parameter of a technical process - Google Patents

Method for predicting a time-variant parameter of a technical process Download PDF

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Publication number
WO2010054771A3
WO2010054771A3 PCT/EP2009/007880 EP2009007880W WO2010054771A3 WO 2010054771 A3 WO2010054771 A3 WO 2010054771A3 EP 2009007880 W EP2009007880 W EP 2009007880W WO 2010054771 A3 WO2010054771 A3 WO 2010054771A3
Authority
WO
WIPO (PCT)
Prior art keywords
duration
type
time
working
working phase
Prior art date
Application number
PCT/EP2009/007880
Other languages
German (de)
French (fr)
Other versions
WO2010054771A2 (en
Inventor
Christoph Kiener
Original Assignee
Linde Aktiengesellschaft
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Linde Aktiengesellschaft filed Critical Linde Aktiengesellschaft
Publication of WO2010054771A2 publication Critical patent/WO2010054771A2/en
Publication of WO2010054771A3 publication Critical patent/WO2010054771A3/en

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Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0205—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system
    • G05B13/026—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system using a predictor
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion

Abstract

The invention relates to a method for predicting a time-variant parameter of a technical process which has at least two types of working phases that proceed repeatedly one after the other and have a respective variable duration. In a learning mode of the method according to the invention, every type of working phase proceeds several times over an empirical interval, the effective duration of the respective working phase is measured for every type of working phase during a plurality of passages and this duration is collected jointly for all working phases of the same type that have been analyzed in the past in an orderly manner so that a frequency distribution of the duration of the corresponding type of working phase is obtained. In a prognostic mode, the current type of working phase is determined at a current point in time, the phase duration passed so far is determined and a prognostic value of the parameter in at least one point in time in the future is determined using the frequency distribution of the duration of the corresponding type of working phase determined in the learning mode.
PCT/EP2009/007880 2008-11-14 2009-11-03 Method for predicting a time-variant parameter of a technical process WO2010054771A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP08019906A EP2187277A1 (en) 2008-11-14 2008-11-14 Method for predicting an indicator in a technical process that varies over time
EP08019906.0 2008-11-14

Publications (2)

Publication Number Publication Date
WO2010054771A2 WO2010054771A2 (en) 2010-05-20
WO2010054771A3 true WO2010054771A3 (en) 2010-07-29

Family

ID=40469957

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/EP2009/007880 WO2010054771A2 (en) 2008-11-14 2009-11-03 Method for predicting a time-variant parameter of a technical process

Country Status (2)

Country Link
EP (1) EP2187277A1 (en)
WO (1) WO2010054771A2 (en)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1533669A1 (en) * 2003-11-18 2005-05-25 Peter Renner Condition monitoring of technical processes
US20050159922A1 (en) * 2000-03-10 2005-07-21 Smiths Detection-Pasadena, Inc. System for providing control to an industrial process using one or more multidimensional variables

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050159922A1 (en) * 2000-03-10 2005-07-21 Smiths Detection-Pasadena, Inc. System for providing control to an industrial process using one or more multidimensional variables
EP1533669A1 (en) * 2003-11-18 2005-05-25 Peter Renner Condition monitoring of technical processes

Also Published As

Publication number Publication date
EP2187277A1 (en) 2010-05-19
WO2010054771A2 (en) 2010-05-20

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